Remote sensing for vegetation science: A virtual special issue on its power and challenges

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F22%3A00560955" target="_blank" >RIV/67985939:_____/22:00560955 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1111/avsc.12677" target="_blank" >https://doi.org/10.1111/avsc.12677</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Remote sensing for vegetation science: A virtual special issue on its power and challenges

Popis výsledku v původním jazyce

Remote sensing of vegetation is becoming increasingly relevant as a tool for habitat monitoring and for developing countermeasures against the loss of biodiversity, habitat fragmentation and landscape change, given natural variation in vegetation composition and structure. Of course, remote sensing should be viewed as an exploratory tool for vegetation monitoring that cannot replace field-based surveys which enable scientists to gather much more detailed information on vegetation properties. We hope readers will appreciate our effort to collect interesting articles on the use of remote sensing in applied vegetation science, covering a wide range of interesting themes and innovative methodologies.

Název v anglickém jazyce

Remote sensing for vegetation science: A virtual special issue on its power and challenges

Popis výsledku anglicky

Remote sensing of vegetation is becoming increasingly relevant as a tool for habitat monitoring and for developing countermeasures against the loss of biodiversity, habitat fragmentation and landscape change, given natural variation in vegetation composition and structure. Of course, remote sensing should be viewed as an exploratory tool for vegetation monitoring that cannot replace field-based surveys which enable scientists to gather much more detailed information on vegetation properties. We hope readers will appreciate our effort to collect interesting articles on the use of remote sensing in applied vegetation science, covering a wide range of interesting themes and innovative methodologies.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10611 - Plant sciences, botany

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů